Arcus Biosciences (RCUS) Total Current Liabilities (2017 - 2026)
Arcus Biosciences' Total Current Liabilities was $198 million in Q2 2026, down 5.7% from $210 million a year earlier and down 5.3% from the prior quarter.
Arcus Biosciences (RCUS) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Arcus Biosciences came in at $231 million, up 2.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $226 million in FY2024 (+22.8%), $184 million in FY2023 (-4.7%), $193 million in FY2022 (+16.3%) and $166 million in FY2021 (+36.4%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Current Liabilities was higher in six of the last eight quarters, with growth averaging 5.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 36.4%); the worst was Q3 2021 (a decline of 12.3%).
- Per Business Quant data, RCUS's Total Current Liabilities in the three quarters before Q2 2026 was $209 million (Q1 2026), $231 million (Q4 2025) and $235 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Arcus Biosciences | 3.18 Bn | -157.19 Mn | - | 198.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.00 Mn |
| Mar 31, 2026 | 209.00 Mn |
| Dec 31, 2025 | 231.00 Mn |
| Sep 30, 2025 | 235.00 Mn |
| Jun 30, 2025 | 210.00 Mn |
| Mar 31, 2025 | 192.00 Mn |
| Dec 31, 2024 | 226.00 Mn |
| Sep 30, 2024 | 215.00 Mn |
| Jun 30, 2024 | 199.00 Mn |
| Mar 31, 2024 | 204.00 Mn |
| Dec 31, 2023 | 184.00 Mn |
| Sep 30, 2023 | 200.00 Mn |
| Jun 30, 2023 | 180.00 Mn |
| Mar 31, 2023 | 179.00 Mn |
| Dec 31, 2022 | 193.00 Mn |
| Sep 30, 2022 | 177.18 Mn |
| Jun 30, 2022 | 164.02 Mn |
| Mar 31, 2022 | 161.25 Mn |
| Dec 31, 2021 | 166.00 Mn |
| Sep 30, 2021 | 142.87 Mn |
Arcus Biosciences Total Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=RCUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "RCUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=RCUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();